419 Related Courses
for Coursera Machine Learning CoursesSequence Models
Foundations: Data Data Everywhere is the first course in the Google Data Analytics Certificate. It provides an introduction to the world of data analytics and equips learners with the skills needed to apply for introductory-level data analyst jobs. Through hands-on curriculum developed by Google, learners will gain an understanding of the practices and processes used by a junior or associate data analyst, learn about key analytical skills and tools, and evaluate the role of analytics in the data ecosystem. View all
Structuring Machine Learning Projects
This course provides an overview of the essential components of a successful machine learning project, from framing the problem to deploying a solution. Students will gain the skills to structure ML projects and develop strategies to ensure success. View all
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Machine Learning: Regression
This case study explores the use of machine learning to predict housing prices based on square footage, number of bedrooms and bathrooms. Through regression analysis, models are developed to accurately estimate the value of a home. View all
Machine Learning: Clustering & Retrieval
This case study explores the use of machine learning techniques such as clustering and retrieval to find similar documents. By applying these methods, readers can be provided with a list of related articles to the one they are interested in. View all
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This course provides an introduction to the foundations of Reinforcement Learning (RL) methods, including value/policy iteration, q-learning, and policy gradient. Participants will gain an understanding of the fundamentals of RL and its applications. View all
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This course provides an intermediate-level introduction to the mathematical foundations of Principal Component Analysis (PCA), a powerful dimensionality reduction technique used in machine learning. Through this course, learners will gain a deeper understanding of PCA and its applications. View all
IBM AI Engineering
This 12-hour course is designed to help beginners understand the basics of local SEO. Led by SEO expert Md Faruk Khan, the course covers topics such as keyword research, on-page optimization, link building, and more. It also provides practical tips and tricks to help you get the most out of your local SEO efforts. With this course, you will gain the knowledge and skills needed to optimize your website for local search engine rankings. You will also learn how to create content that is optimized for local search engine results. This course is perfect for anyone looking to get started with local SEO and take their website to the next level. View all
Advanced Machine Learning and Signal Processing Professional
This course provides an introduction to advanced machine learning and signal processing techniques. Students will gain an understanding of the fundamentals and be able to apply them to real-world problems. Enrollment requires agreement to the End User License Agreement as outlined in the FAQ. View all
Supervised Machine Learning: Regression
Discover the fundamentals of supervised machine learning regression with this course! Learn how to train regression models to predict continuous outcomes, use error metrics to compare models, and use regularization techniques to prevent overfitting. Suitable for aspiring data scientists with Python development experience and knowledge of data cleaning, calculus, linear algebra, probability, and statistics. View all
Guided Tour of Machine Learning in Finance
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Introduction to Trading Machine Learning & GCP
This course from the New York Institute of Finance and Google Cloud provides an introduction to trading, machine learning, and Google Cloud Platform (GCP). Gain the skills to make informed decisions in the financial markets and leverage GCP for machine learning applications. View all
Reinforcement Learning in Finance
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Fundamentals of Machine Learning in Finance
This course provides an introduction to the fundamentals of machine learning in finance, equipping students with the skills to solve practical ML-amenable problems encountered in the financial industry. View all
Improving Deep Neural Networks: Hyperparameter Tuning Regularization and Optimization
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Probabilistic Graphical Models 1: Representation
Learn the basics of Probabilistic Graphical Models 1: Representation View all
Data Mining
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The Unix Workbench
Explore the essentials of The Unix Workbench View all
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Introduction to Deep Learning & Neural Networks with Keras
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Generative Adversarial Networks (GANs)
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Guided Tour of Machine Learning in Finance
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Probabilistic Graphical Models 2: Inference
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Probabilistic Graphical Models
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Introduction to Applied Machine Learning
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Building Deep Learning Models with TensorFlow
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Probabilistic Graphical Models 3: Learning
Get a comprehensive overview of Probabilistic Graphical Models 3: Learning View all
Apply Generative Adversarial Networks (GANs)
Explore the essentials of Apply Generative Adversarial Networks (GANs) View all
Fundamentals of Machine Learning in Finance
Discover the fundamentals of Fundamentals of Machine Learning in Finance View all
Supervised Machine Learning: Classification
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Building AI Applications with Watson APIs
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AI Capstone Project with Deep Learning
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Machine Learning Algorithms: Supervised Learning Tip to Tail
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Matrix Factorization and Advanced Techniques
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CertNexus Certified Ethical Emerging Technologist
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